Operations | Monitoring | ITSM | DevOps | Cloud

A key challenge of monitoring your CI/CD system is understanding how to optimize your workflows and create best practices that help you minimize pipeline slowdowns and better respond to CI issues. In addition to monitoring CI pipelines and their underlying infrastructure, your organization also needs to cultivate effective relationships between platform and development teams.

Ciara Carey reflects on her experience at the KubeCon event in Paris including her top 10 talks and current industry trends.

Last November, Dimitris and Giordano Ricci wrote a blog post about CI/CD observability that looked into ways to extract traces and metrics in order to get a better understanding of possible issues inside a CI/CD system. That post focused on getting data from a continuous integration (CI) system, and it really resonated with the community.

Machine learning operations (MLOps) has become the backbone of efficient artificial intelligence (AI) development. Blending ML with development and operations best practices, MLOps streamlines deploying ML models via continuous testing, updating, and monitoring. But as ML and AI use cases continue to expand, a need arises for specialized tools and best practices to handle the particular conditions of complex AI apps — like those using large language models (LLMs).

The wins just keep coming! Today we celebrate fresh evidence of the mark we're making in the industry.

The collaboration between development (Dev) and operations (Ops) teams is crucial for delivering high-quality software products and services efficiently. DevOps has emerged as a transformative approach that bridges the gap between these two traditionally siloed functions, fostering a culture of collaboration, automation, and continuous improvement.

DevOps teams play a crucial role in ensuring the continuous delivery of software applications. One of the key pillars of DevOps success is implementing effective monitoring and alerting strategies. In this blog post, we will explore the importance of monitoring and alerting in DevOps, discuss best practices, and provide insights into building a robust monitoring ecosystem.

An IDE (integrated development environment) is software that combines all the functions needed for development in one place. Without an IDE, developers would need to use both a text editor to enter code and a separate compiler to make the program understandable to the computer. An IDE combines these features into one tool, making development more efficient.

In this article, you will get an easy-to-understand explanation of what an API (application programming interface) is and how you can use them to enhance your software applications or services.

DevOps practices have revolutionized how teams build, test, deploy, and manage applications, enabling rapid delivery without compromising quality. Central to this paradigm shift are containerization technologies like Docker and orchestration platforms like Kubernetes. In this article, we’ll explore how containerization and DevOps intersect, and how leveraging Docker and Kubernetes can optimize deployment processes.

DevOps has emerged as a crucial methodology for software development and deployment. DevOps bridges the gap between development and operations teams, fostering collaboration and enabling continuous integration and delivery (CI/CD). At the heart of DevOps lies automation, which streamlines deployment pipelines, enhances productivity, and ensures rapid, reliable software delivery.

In today’s digitally-driven world, organizations rely heavily on software applications to streamline services, provide operations, engage customers, and drive innovation through digital transformation. Software has also become the lynchpin for securing an entire business’ services and keeping them up and running. Yet, this omnipresent force comes with its own set of challenges.

Cloudsmith now supports upstream proxying and caching for CRAN's R packages. That means simpler, more reliable integration of third-party packages into your organization's development process. Better software, faster!

For Android developers, test automation on CI/CD platforms such as CircleCI has become an indispensable part of the development workflow. But merely implementing automated testing is no longer enough to remain competitive and continue to develop at speed. Developers must also work to continuously monitor, maintain, and improve their test automation. As an application grows in complexity, the scale of development grows, as does the number of automated tests.

At JFrog, we believe in practicing what we preach by “drinking our own champagne.” This means that we not only develop and deliver market-leading products but also utilize our own solutions in our development processes. When it comes to managing development environments, we aim to implement the best-in-class approaches.

The simplest way to manage and organize your Docker images is with a Docker registry. You need reliable, secure, consistent and efficient access to your Docker images that’s shared across your team in a central location, including a place to set up multiple registries that work transparently with the Docker client. There are three different repository types in JFrog Artifactory that you will use regularly for all of your package types, including Docker container images.

Learn about Cloudsmith's recent ISO 27001:2013 recertification, highlighting the team's unwavering commitment to security excellence and customer trust.

Software development, where agility and collaboration are paramount, DevOps has emerged as a transformative force. By breaking down traditional silos between development and operations teams, DevOps fosters a culture of efficiency, collaboration, and continuous improvement. In this blog post, we’ll delve into the power of DevOps and how it unlocks new levels of efficiency and collaboration within organizations.

Traditional development methodologies are being replaced by more efficient and collaborative approaches like DevOps. By integrating development (Dev) and operations (Ops) teams, DevOps streamlines the software delivery process, leading to faster time-to-market, improved product quality, and increased customer satisfaction.